Majority voting for improved signature verification
Allgrove, C.; Fairhurst, M.C.
Visual Biometrics (Ref.No. 2000/018), IEE Colloquium on
Volume , Issue , 2000 Page(s):9/1 - 9/4
Digital Object Identifier
Summary:The rich and varied nature of the information with which to
characterise signatures gives rise to a number of issues which must be
addressed for a viable signature verification system to be implemented.
However, signature verification solutions do not generally make
effective use of these multiple sources of information and may miss the
opportunity to implement a sophisticated signature verification system
utilising a diverse range of sources of description for signatures. In
order to achieve a successful combination of information sources and
types, the problem of combining disparate forms of signature
information, including both continuous and discrete features, and
parametric and signal-based methods of signature representation must be
addressed. The utilisation of a number of different sources of
identifying information is commonly described in terms of multiple
experts, where each individual expert is defined as a single set of
features or classifier type and the overall system is formed by a
combination of these experts. The combination of different sources of
information about a signature, in the form of different feature sets and
classification methods, provides an opportunity to develop an improved
level of verification compared to the use of a single set of
descriptors. In order to investigate this multiple expert architecture
empirically, eleven experts are considered, formed from both static and
dynamic signature data, with the intention of using complementary
sources of information about a signature
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